Florent Pled
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Review and Recent Developments on the Perfectly Matched Layer (PML) Method for the Numerical Modeling and Simulation of Elastic Wave Propagation in Unbounded DomainsArchives of Computational Methods in Engineering, 2022, ⟨10.1007/s11831-021-09581-y⟩
Article dans une revue
hal-03196974v1
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A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural networkComputer Methods in Applied Mechanics and Engineering, 2021, 373, pp.113540. ⟨10.1016/j.cma.2020.113540⟩
Article dans une revue
hal-03000299v2
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Robust Multiscale Identification of Apparent Elastic Properties at Mesoscale for Random Heterogeneous Materials with Multiscale Field MeasurementsMaterials, 2020, 13 (12), pp.2826. ⟨10.3390/ma13122826⟩
Article dans une revue
hal-02879369v1
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A data-driven statistical inverse identification method for phase field modeling of fracture in random heterogeneous elastic mediaEngineering Mechanics Institute Conference 2023 (EMI 2023), Georgia Institute of Technology, Jun 2023, Atlanta, United States
Communication dans un congrès
hal-04122931v1
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A data-driven identification method based on neural networks for solving statistical inverse problems in computational mechanics13th International Conference on Structural Safety & Reliability (ICOSSAR 2021-2022), Tongji University, Sep 2022, Shanghai (virtual), China
Communication dans un congrès
hal-03774358v1
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On the Design of Artificial Neural Networks for solving Statistical Inverse Problems in Computational Biomechanics15th World Congress on Computational Mechanics (WCCM XV), Jul 2022, Yokohama (virtual), Japan
Communication dans un congrès
hal-03763600v1
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Phase Field Model for Brittle Fracture in Random Heterogeneous Elastic Media: Forward Numerical Simulations and Sensitivity AnalysisEuropean Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022), Jun 2022, Oslo, Norway
Communication dans un congrès
hal-03712152v1
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Identification of a Phase Field Model for Brittle Fracture in Random Heterogeneous Elastic Media15th World Congress on Computational Mechanics (WCCM XV), Jul 2022, Yokohama (virtual), Japan
Communication dans un congrès
hal-03763617v1
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Statistical inverse problem for the mesoscale model of apparent elasticity properties by training an artificial neural network4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021), Jun 2021, Athens (virtual), Greece
Communication dans un congrès
hal-03277962v1
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A probabilistic artificial neural network for a robust identification of the random apparent elasticity tensor field at mesoscale16th U.S. National Congress on Computational Mechanics (USNCCM16), Jul 2021, Chicago, Illinois (virtual), United States
Communication dans un congrès
hal-03278148v1
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On the Solution of Statistical Inverse Problems using Machine Learning Methods based on Artificial Neural Networks16th U.S. National Congress on Computational Mechanics (USNCCM16), Jul 2021, Chicago, Illinois (virtual), United States
Communication dans un congrès
hal-03277972v1
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Artificial neural network for a robust identification of apparent elasticity properties at mesoscale with limited experimental measurements14th World Congress on Computational Mechanics (WCCM XIV), Jan 2021, Paris (virtual), France
Communication dans un congrès
hal-03253340v1
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An artificial neural network-based identification method applied to a random elasto-acoustic wave propagation problem in computational biomechanics4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021), Jun 2021, Athens (virtual), Greece
Communication dans un congrès
hal-03253248v1
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Robust identification of geometrical and mechanical properties using artificial neural networks for cortical bone damage prediction14th World Congress on Computational Mechanics (WCCM XIV), Jan 2021, Paris (virtual), France
Communication dans un congrès
hal-03253309v1
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Machine learning based on neural networks for the inverse identification of probability distributions - Application to the axial transmission technique for the ultrasonic characterization of damaged cortical bone propertiesXI International Conference on Structural Dynamics (EURODYN 2020), Nov 2020, Athens, Greece
Communication dans un congrès
hal-03638124v1
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Neural network prediction of cortical bone damage using a stochastic computational mechanical model3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Jul 2019, Hersonissos, Crete Island, Greece
Communication dans un congrès
hal-02175561v1
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Experimental identification of mesoscopic elasticity tensor field for heterogeneous materials with complex microstructure using multiscale experimental imaging measurements3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Jun 2019, Hersonissos, Crete Island, Greece
Communication dans un congrès
hal-02176038v1
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Multiscale identification of apparent elastic properties at meso-scale for materials with complex microstructure using experimental imaging measurements6th European Conference on Computational Mechanics (ECCM VI), Jun 2018, Glasgow, United Kingdom
Communication dans un congrès
hal-01817010v1
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Image-based multiscale modeling of bone elasticity: how to make the most out of uncertainty?12th World Congress on Computational Mechanics (WCCM XII), Jul 2016, Seoul, South Korea
Communication dans un congrès
hal-01306408v1
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